Self-learning green application workloads

A computing system comprising:

• a memory;
• and
• one or more processors in communication with the memory, the one or more processors configured to:
• obtain energy usage data of a data center deploying an application;
• compute, based on a comparison of the energy usage data of the data center deploying the application to a percentage of energy provided by one or more renewable energy sources to the data center, a green quotient of the application that specifies a value that indicates whether the data center deploying the application is energy efficient;
• and
• invoke, based on the green quotient of the application that specifies a value that indicates the data center deploying the application is not energy efficient, an action to improve energy usage of the data center deploying the application, wherein the action comprises configuring one or more devices of the data center.

Non-transitory computer-readable media having instructions that, when executed, cause one or more processors to:

• obtain energy usage data of a data center deploying an application;
• compute, based on a comparison of the energy usage data of the data center deploying the application to a percentage of energy provided by one or more renewable energy sources to the data center, a green quotient of the application that specifies a value that indicates whether the data center deploying the application is energy efficient;
• and
• invoke, based on the green quotient of the application that specifies a value that indicates the data center deploying the application is not energy efficient, an action to improve energy usage of the data center deploying the application, wherein the action comprises configuring one or more devices of the data center.